Explainable artificial Intelligence (XAI), is a type AI that provides explanations for its actions. This technology is used to reduce ethical concerns and build trust between humans and machines. Yet, there is still the question: How can AI make itself more understandable to humans? The answer lies in the application and use cases for which explainable AI is desired. Explainable AI is valuable in two areas: autonomous vehicles and self-driving car. This article will provide more details on the benefits of XAI.
XAI is a form of artificial intelligence that has explanations for its decisions
XAI refers to a form of AI that has explanations for its decisions. This type of artificial Intelligence is meant to make it easier to understand how the model works and what its predictions are. It can identify bugs in code or components that could cause a model to fail. It can also identify biases within the training data. We will briefly discuss the main benefits of XAI in this article.
It helps mitigate ethical challenges
It is concerning to see the increasing privacy and ethical concerns regarding AI and data sciences. Companies will not be able to evaluate risk consistently and effectively without a solid protocol. They will have to scramble for solutions, hoping that the problem will disappear on its own. Most companies dealing with ethical issues at scale have ineffective policies and procedures which lead to inefficient risk identification and slow production. Companies that collaborate with third parties to develop AI can exacerbate these problems.
It enhances trust between people and machines
Research has shown that explaining AI can help humans gain trust in the systems they use. This is significant because we draw conclusions about AI systems from three different factors: performance, working mechanisms and purpose. Explanable AI systems not only provide test metrics but also give transparency about their purpose. These three elements work together to improve trust between humans and machines. They are not able to do this all by themselves.
It is a kind of machine-tomachine explainability
To ensure the ethical and social benefit of a decision, it is vital to explain its reasoning in a world of increasing automation. Explainable AI can be applied to many manufacturing areas, including explaining assembly line problems and improving machine-tomachine communication. This method can also be used to train military personnel and reduce some of the ethical concerns that AI is known for.
It's relevant to telecommunications networks
The architecture of telecommunications has undergone fundamental changes. It describes the general structure of the system and the relationships between its components. Before, cable and data networks coexisted side by side, sharing the same technology base and high-speed digital pipes. In the 1960s, the Federal Communications Commission made the Carterphone decision, allowing consumers to purchase telecommunications services and products. One customer may have a WiFi local area network that allows them to offer the first Internet-based VoIP services.
FAQ
What does AI mean today?
Artificial intelligence (AI), is a broad term that covers machine learning, natural language processing and expert systems. It is also called smart machines.
The first computer programs were written by Alan Turing in 1950. He was intrigued by whether computers could actually think. He presented a test of artificial intelligence in his paper "Computing Machinery and Intelligence." The test seeks to determine if a computer programme can communicate with a human.
John McCarthy introduced artificial intelligence in 1956 and created the term "artificial Intelligence" through his article "Artificial Intelligence".
We have many AI-based technology options today. Some are simple and easy to use, while others are much harder to implement. They range from voice recognition software to self-driving cars.
There are two types of AI, rule-based or statistical. Rule-based uses logic to make decisions. For example, a bank account balance would be calculated using rules like If there is $10 or more, withdraw $5; otherwise, deposit $1. Statistics are used to make decisions. For example, a weather prediction might use historical data in order to predict what the next step will be.
Why is AI important?
According to estimates, the number of connected devices will reach trillions within 30 years. These devices include everything from cars and fridges. The combination of billions of devices and the internet makes up the Internet of Things (IoT). IoT devices will be able to communicate and share information with each other. They will also be able to make decisions on their own. A fridge might decide to order more milk based upon past consumption patterns.
It is estimated that 50 billion IoT devices will exist by 2025. This is a tremendous opportunity for businesses. However, it also raises many concerns about security and privacy.
Where did AI get its start?
Artificial intelligence was established in 1950 when Alan Turing proposed a test for intelligent computers. He stated that a machine should be able to fool an individual into believing it is talking with another person.
John McCarthy, who later wrote an essay entitled "Can Machines Thought?" on this topic, took up the idea. McCarthy wrote an essay entitled "Can machines think?" in 1956. He described in it the problems that AI researchers face and proposed possible solutions.
What are the benefits from AI?
Artificial Intelligence is a revolutionary technology that could forever change the way we live. It is revolutionizing healthcare, finance, and other industries. It's also predicted to have profound impact on education and government services by 2020.
AI is already being used to solve problems in areas such as medicine, transportation, energy, security, and manufacturing. The possibilities are endless as more applications are developed.
What is the secret to its uniqueness? It learns. Computers can learn, and they don't need any training. Instead of learning, computers simply look at the world and then use those skills to solve problems.
AI's ability to learn quickly sets it apart from traditional software. Computers can process millions of pages of text per second. They can instantly translate foreign languages and recognize faces.
And because AI doesn't require human intervention, it can complete tasks much faster than humans. It can even perform better than us in some situations.
A chatbot named Eugene Goostman was created by researchers in 2017. The bot fooled dozens of people into thinking it was a real person named Vladimir Putin.
This proves that AI can be convincing. Another advantage of AI is its adaptability. It can be taught to perform new tasks quickly and efficiently.
This means that companies do not have to spend a lot of money on IT infrastructure or employ large numbers of people.
Is there any other technology that can compete with AI?
Yes, but it is not yet. Many technologies have been developed to solve specific problems. But none of them are as fast or accurate as AI.
Statistics
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
External Links
How To
How to set up Amazon Echo Dot
Amazon Echo Dot can be used to control smart home devices, such as lights and fans. To start listening to music and news, you can simply say "Alexa". You can make calls, ask questions, send emails, add calendar events and play games. Bluetooth speakers or headphones can be used with it (sold separately), so music can be played throughout the house.
Your Alexa enabled device can be connected via an HDMI cable and/or wireless adapter to your TV. For multiple TVs, you can purchase one wireless adapter for your Echo Dot. You can pair multiple Echos simultaneously, so they work together even when they aren't physically next to each other.
To set up your Echo Dot, follow these steps:
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Your Echo Dot should be turned off
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Connect your Echo Dot via its Ethernet port to your Wi Fi router. Turn off the power switch.
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Open the Alexa App on your smartphone or tablet.
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Select Echo Dot among the devices.
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Select Add New Device.
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Select Echo Dot from among the options that appear in the drop-down menu.
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Follow the instructions.
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When asked, type your name to add to your Echo Dot.
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Tap Allow access.
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Wait until the Echo Dot successfully connects to your Wi Fi.
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Repeat this process for all Echo Dots you plan to use.
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Enjoy hands-free convenience!